Custom SOC IP Verification Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, TechnologyIndustries

Requirements

B.S. or M.S. degree in Computer Engineering, Electrical Engineering, or a related field (or equivalent experience)
8+ years of experience in ASIC verification, particularly in cache coherency or memory subsystem verification
Strong knowledge of System Verilog and UVM methodology
Hands-on experience with AMBA protocols, especially AXI, ACE, and CHI
Familiarity with SoC architectures, memory models, and CPU-cache interactions
Proficiency in scripting languages (Python, Perl, TCL) and working knowledge of C/C++ for testbench or model integration

Responsibilities

Responsible for ASIC design verification for various processing blocks within a SOC, with a strong focus on cache coherency protocols and complex memory hierarchies
Develop and complete test plans for cache coherency verification of ASIC-based SoCs using UVM-based environments
Design and implement constrained-random and directed System Verilog testbenches targeting multi-level cache hierarchies and interconnect fabric
Collaborate extensively with Architecture, SW/FW, Design, Modeling, Emulation, and Post-Silicon Validation teams to ensure comprehensive first-time right verification plans and execution
Drive the development of silicon and platform verification strategies and methodologies

Skills

Key technologies and capabilities for this role

SystemVerilogUVMC++AXIACECHICache CoherencyAMBAASIC VerificationSOC Verification

Questions & Answers

Common questions about this position

What is the base salary for this position?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What key skills are required for the Custom SOC IP Verification Engineer role?

The role requires 8+ years of experience in ASIC verification, strong knowledge of System Verilog and UVM methodology, hands-on experience with AMBA protocols like AXI, ACE, and CHI, and proficiency in scripting languages such as Python, Perl, TCL, and C/C++.

What kind of team collaboration is involved in this role?

You will collaborate extensively with Architecture, SW/FW, Design, Modeling, Emulation, and Post-Silicon Validation teams to ensure comprehensive verification plans and execution.

What experience will make me stand out for this position?

Experience with formal verification or assertion-based verification (SVA), knowledge of RISC-V or ARM architecture, exposure to coherency modeling tools or emulation platforms like Palladium or Veloce, and GPU-based verification experience will help you stand out.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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